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AIOps observability adoption ascends in healthcare

Dynatrace

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Emerging security threats.

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What is IT automation?

Dynatrace

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

How to select appropriate IT Infrastructure to support Digital Transformation by Boris Zibitsker, BEZNext. – Optimizing IT infrastructure – with specific use cases. Boris has unique expertise in that area – especially in Big Data applications. Something we all struggle with. by Stefano Doni, Akamas.

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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

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What is a Distributed Storage System

Scalegrid

Consequently, if any node happens to fail, the remaining ones provide continued access to the saved information without risking service interruptions or permanent data loss. Balancing these factors requires careful management to ensure data remains consistent and available despite potential network divisions.

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What is AIOps? Everything you wanted to know

Dynatrace

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. The second challenge with traditional AIOps centers around the data processing cycle. Dynatrace news.

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Structural Evolutions in Data

O'Reilly

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.